Literature DB >> 20827725

Building virtual models by postprocessing radiology images: A guide for anatomy faculty.

Matthew D B S Tam1.   

Abstract

Radiology and radiologists are recognized as increasingly valuable resources for the teaching and learning of anatomy. State-of-the-art radiology department workstations with industry-standard software applications can provide exquisite demonstrations of anatomy, pathology, and more recently, physiology. Similar advances in personal computers and increasingly available software can allow anatomy departments and their students to build their own three-dimensional virtual models. Appropriate selection of a data-set, followed by processing and presentation are the key steps in creating virtual models. The construction, presentation, clinical application, and educational potential of postprocessed imaging techniques including multiplanar reformats, minimum intensity projections, segmentation, volume-rendering, surface-rendering, fly-throughs, virtual endoscopy, angiography, and cine-loops are reviewed using examples created with only a personal computer and freeware software. Although only static images are presented in this article, further material is available online within the electronic version of this article. Through the use of basic and advanced image reconstruction and also paying attention to optimized presentation and integration, anatomy courses can be strengthened with appropriate radiological material. There are several key advantages for the anatomy department, which is equipped with the ability to produce virtual models using radiology images: (1) Opportunities to present anatomy using state-of-the-art technology as an adjunct to current practices, (2) a means to forge an improved relationship with the local radiology department, and (3) the ability to create material locally, which is integrated with the local curriculum avoiding the problem of information overload when using the internet or other commercially available resources.

Mesh:

Year:  2010        PMID: 20827725     DOI: 10.1002/ase.175

Source DB:  PubMed          Journal:  Anat Sci Educ        ISSN: 1935-9772            Impact factor:   5.958


  13 in total

1.  Presurgical planning for arteriovenous malformations using multidetector row CT.

Authors:  Takeshi Mikami; Tohru Hirano; Toshiya Sugino; Kei Miyata; Satoshi Iihoshi; Masahiko Wanibuchi; Nobuhiro Mikuni
Journal:  Neurosurg Rev       Date:  2012-03-23       Impact factor: 3.042

Review 2.  Teaching medical anatomy: what is the role of imaging today?

Authors:  Bruno Grignon; Guillaume Oldrini; Frédéric Walter
Journal:  Surg Radiol Anat       Date:  2015-08-23       Impact factor: 1.246

3.  New Generation of Three-Dimensional Tools to Learn Anatomy.

Authors:  Roberto D Tabernero Rico; Juan A Juanes Méndez; Alberto Prats Galino
Journal:  J Med Syst       Date:  2017-04-12       Impact factor: 4.460

4.  Creating vascular models by postprocessing computed tomography angiography images: a guide for anatomical education.

Authors:  Figen Govsa; Mehmet Asim Ozer; Suzan Sirinturk; Cenk Eraslan; Ahmet Kemal Alagoz
Journal:  Surg Radiol Anat       Date:  2017-02-06       Impact factor: 1.246

5.  Potentialities and limitations of a database constructing three-dimensional virtual bone models.

Authors:  F Radetzki; T Mendel; H Noser; D Stoevesandt; M Röllinghoff; N Gutteck; K S Delank; D Wohlrab
Journal:  Surg Radiol Anat       Date:  2013-04-10       Impact factor: 1.246

Review 6.  Three-dimensional reconstruction of light microscopy image sections: present and future.

Authors:  Yuzhen Wang; Rui Xu; Gaoxing Luo; Jun Wu
Journal:  Front Med       Date:  2014-06-20       Impact factor: 4.592

7.  Cadaver-specific CT scans visualized at the dissection table combined with virtual dissection tables improve learning performance in general gross anatomy.

Authors:  Daniel Paech; Frederik L Giesel; Roland Unterhinninghofen; Heinz-Peter Schlemmer; Thomas Kuner; Sara Doll
Journal:  Eur Radiol       Date:  2016-08-27       Impact factor: 5.315

Review 8.  Principles and applications of the balanced steady-state free precession sequence in small animal low-field MRI.

Authors:  Mario Ricciardi
Journal:  Vet Res Commun       Date:  2018-01-04       Impact factor: 2.459

9.  3D Brain Imaging in Vascular Segmentation of Cerebral Venous Sinuses.

Authors:  Asli Beril Karakas; Figen Govsa; Mehmet Asım Ozer; Cenk Eraslan
Journal:  J Digit Imaging       Date:  2019-04       Impact factor: 4.056

10.  Producing three-dimensional printed models of the hepatobiliary system from computed tomography imaging data.

Authors:  R W Smillie; M A Williams; M Richard; T Cosker
Journal:  Ann R Coll Surg Engl       Date:  2020-09-23       Impact factor: 1.891

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